Consumer Value of Context Aware and Location Based Mobile Services

Consumer Value of Context Aware and Location Based Mobile Services

Henny de Vos (Novay, The Netherlands), Timber Haaker (Novay, The Netherlands), Marije Teerling (Novay, The Netherlands) and Mirella Kleijnen (Free University, The Netherlands)
Copyright: © 2009 |Pages: 15
DOI: 10.4018/jesma.2009070803
OnDemand PDF Download:
No Current Special Offers


Context aware services have the ability to utilize information about the user’s context and adapt services to a user’s current situation and needs. In this article the authors consider users’ perceptions of the added value of location awareness and presence information in mobile services. The authors use an experimental design, where stimuli comprising specific bundles of mobile services were presented to groups of respondents. The stimuli showed increasing, manipulated, levels of context-awareness, including location of the user and location and availability of buddies as distinct levels. Their results indicate that simply adding context aware features to mobile services does not necessarily provide added value to users, rather the contrary. The potential added value of insight in buddies’ location and availability is offset by people’s reluctance to share location information with others. Although the average perceived value overall is rather low there exists a substantial minority that does appreciate the added context aware features. High scores on constructs like product involvement, social influence and self-expressiveness characterize this group. The results also show that context aware service bundles with utilitarian elements have a higher perceived value than bundles with hedonic elements. On the basis of the different results some guidelines for designing context aware mobile services are formulated.
Article Preview


In contrast to the tremendous success of mobile voice communication services, the uptake of mobile data services has been slow (Carlsson, 2006). With ‘mobile services’ we refer to all kinds of innovative services that combine technologies and concepts from the domains of telecommunication, information technology, and consumer electronics. While voice communication has become a commodity and mobile phone penetration has risen close to or even higher than 100% in Europe, the adoption of mobile services is hampered by an apparent lack of added value (Ojala et al., 2003), a mismatch between launched applications and the everyday needs of target users (Carlsson, 2006; Steinfeld, 2004), and ineffective business models (Carlsson, 2006; Steinfield, 2004; De Reuver and Haaker, 2009). However, the introduction of new phones such as the iPhone in combination with flat fee data subscriptions has led to a clear increase in data traffic and use of mobile services and mobile internet. Especially news and video sites, e.g. Youtube, and social media services are increasingly used on the newest mobile phones.

A core value element in mobile services is that they can be used anytime and anywhere, which enables people to communicate or to access information at any location, any time and in any situation (De Reuver, 2008). The intention to use mobile services is however found to depend on the situational context (Bouwman et al., 2008). Therefore, mobile services and applications that adapt to the context may provide greater added value (Bae et al., 2006; Klemettinen, 2007). Context awareness deals with the ability to utilize information about the user’s environment (context) in order to adapt services to the user’s current situation and needs (Dockhorn Costa, 2005). The most well known form of context awareness is location awareness, which is used to adapt services to the current location of the user (Raper et al., 2007). Navigation services, e.g. in-car personal navigation, are among the most popular location based services (Berg Insight, 2007). Other examples of context aware mobile services deal with social context. For example presence services like MSN Mobile Messenger allow users to share information on social context like their online or offline status, or availability for communication. Twitter provides a social messaging utility for users to share what they are currently doing or thinking (Twitter, 2009). Context characteristics can also be derived from sensors, e.g. bio-sensors to measure heart rates, and used to adapt or trigger specific service behavior (Klemettinen, 2007; Koolwaaij et al., 2006).

Complete Article List

Search this Journal:
Volume 14: 4 Issues (2022): 1 Released, 3 Forthcoming
Volume 13: 4 Issues (2021)
Volume 12: 4 Issues (2020)
Volume 11: 4 Issues (2019)
Volume 10: 4 Issues (2018)
Volume 9: 4 Issues (2017)
Volume 8: 4 Issues (2016)
Volume 7: 4 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing